2023 AIChE Annual Meeting

Session: Particulate Process Modeling and Product Design

Chair

Ramachandran, R., Rutgers The State University of New Jersey

Co-Chair

Presentations

12:30 PM

(333a) Semi-Mechanistic Prediction of Residence Time Metrics and Mixing Dynamics in Single-Screw Extrusion Via a 2-D Convection-Diffusion Model Combined with Machine Learning

12:48 PM

(333b) Development of High-Speed Computing Method for Powder Mixing Using Machine Learning with Random Model

01:06 PM

(333c) High Order Mass Preserving Finite Volume Approach for Rennet-Induced Coagulation Equation

01:24 PM

(333d) Super Learner Based Recurrent Neural Network Modelling Twin-Screw Granulation

01:42 PM

(333e) Predicting Drying Performance of Pharmaceutical Spray Dryers By Means of Multiphysics Simulations

02:00 PM

(333f) Design Space Optimization of a Sachet Filling Device Using Discrete Element Method (DEM)

02:18 PM

(333g) A Hybrid Multivariate Model for Understanding Fluid Bed Wet Granulation Process Parameters Impact on Tablet Physicals

02:36 PM

(333h) Utilising Science-Based Compaction Models for Drug Product Development: Tech Transfer and Flowsheet Simulations